Topic Science Subtopic “Pure intellectual stimulation that can be popped into & Mathematics Mathematics the [audio or video player] anytime.” —Harvard Magazine M The Art and Craft “Passionate, erudite, living legend lecturers. Academia’s a best lecturers are being captured on tape.” th e —The Los Angeles Times m of Mathematical a t i c “A serious force in American education.” a —The Wall Street Journal l P Problem Solving r o b le m S Course Guidebook o lv i n g Professor Paul Zeitz University of San Francisco Professor Paul Zeitz is a specialist in mathematical problem solving. A Professor of Mathematics at the University of San Francisco, he won the USA Mathematical Olympiad and was a member of the first American team to participate in the International Mathematical Olympiad. Since then, he has helped train several American International Mathematical Olympiad teams, most notably the 1994 team—the first to achieve a perfect score. THE GREAT COURSES® Corporate Headquarters 4840 Westfields Boulevard, Suite 500 Chantilly, VA 20151-2299 G USA u Phone: 1-800-832-2412 id www.thegreatcourses.com e b o Cover Image: © SSPL/The Image Works. o Course No. 1483 © 2010 The Teaching Company. PB1483A k PUBLISHED BY: THE GREAT COURSES Corporate Headquarters 4840 Westfi elds Boulevard, Suite 500 Chantilly, Virginia 20151-2299 Phone: 1-800-832-2412 Fax: 703-378-3819 www.thegreatcourses.com Copyright © The Teaching Company, 2010 Printed in the United States of America This book is in copyright. All rights reserved. Without limiting the rights under copyright reserved above, no part of this publication may be reproduced, stored in or introduced into a retrieval system, or transmitted, in any form, or by any means (electronic, mechanical, photocopying, recording, or otherwise), without the prior written permission of The Teaching Company. Paul Zeitz, Ph.D. Professor of Mathematics University of San Francisco P aul Zeitz is Professor of Mathematics at the University of San Francisco. He majored in History at Harvard University and received a Ph.D. in Mathematics from the University of California, Berkeley, in 1992, specializing in Ergodic Theory. Between college and graduate school, he taught high school mathematics in San Francisco and Colorado Springs. One of Professor Zeitz’s greatest interests is mathematical problem solving. He won the USA Mathematical Olympiad (USAMO) and was a member of the (cid:191) rst American team to participate in the International Mathematical Olympiad (IMO) in 1974. Since 1985, he has composed and edited problems for several national math contests, including the USAMO. He has helped train several American IMO teams, most notably the 1994 “Dream Team,” which was the (cid:191) rst—and heretofore only—team in history to achieve a perfect score. This work, and his experiences teaching at USF, led him to write The Art and Craft of Problem Solving (Wiley, 1999; 2nd ed., 2007). Professor Zeitz has also been active in events for high school students. He founded the San Francisco Bay Area Math Meet in 1994; cofounded the Bay Area Mathematical Olympiad in 1999; and currently is the director of the San Francisco Math Circle, a program that targets middle and high school students from underrepresented populations. Professor Zeitz was honored in March 2002 with the Award for Distinguished College or University Teaching of Mathematics from the Northern California Section of the Mathematical Association of America (MAA), and in January 2003, he received the MAA’s national teaching award, the Deborah and Franklin Tepper Haimo Award. (cid:374) i Table of Contents INTRODUCTION Professor Biography ............................................................................i Course Scope .....................................................................................1 LECTURE GUIDES LECTURE 1 Problems versus Exercises ................................................................4 LECTURE 2 Strategies and Tactics ......................................................................10 LECTURE 3 The Problem Solver’s Mind-Set ........................................................16 LECTURE 4 Searching for Patterns ......................................................................20 LECTURE 5 Closing the Deal—Proofs and Tools .................................................24 LECTURE 6 Pictures, Recasting, and Points of View ...........................................30 LECTURE 7 The Great Simpli(cid:191) er—Parity .............................................................35 LECTURE 8 The Great Uni(cid:191) er—Symmetry ..........................................................41 LECTURE 9 Symmetry Wins Games! ...................................................................45 LECTURE 10 Contemplate Extreme Values ...........................................................51 ii Table of Contents LECTURE 11 The Culture of Problem Solving........................................................55 LECTURE 12 Recasting Integers Geometrically.....................................................58 LECTURE 13 Recasting Integers with Counting and Series...................................63 LECTURE 14 Things in Categories—The Pigeonhole Tactic ..................................67 LECTURE 15 The Greatest Uni(cid:191) er of All—Invariants .............................................71 LECTURE 16 Squarer Is Better—Optimizing 3s and 2s .........................................76 LECTURE 17 Using Physical Intuition—and Imagination .......................................80 LECTURE 18 Geometry and the Transformation Tactic ..........................................85 LECTURE 19 Building from Simple to Complex with Induction ..............................89 LECTURE 20 Induction on a Grand Scale ..............................................................94 LECTURE 21 Recasting Numbers as Polynomials—Weird Dice ............................98 LECTURE 22 A Relentless Tactic Solves a Very Hard Problem ...........................103 LECTURE 23 Genius and Conway’s In(cid:191) nite Checkers Problem ..........................108 iii Table of Contents LECTURE 24 How versus Why—The Final Frontier.............................................113 SUPPLEMENTAL MATERIAL Solutions .........................................................................................117 Timeline ..........................................................................................128 Glossary .........................................................................................131 Biographical Notes .........................................................................137 Bibliography ....................................................................................139 iv The Art and Craft of Mathematical Problem Solving Scope: T his is a course about mathematical problem solving. The phrase “problem solving” has become quite popular lately, so before we proceed, it is important that you understand how I de(cid:191) ne this term. I contrast problems with exercises. The latter are mathematical questions that one knows how to answer immediately: for example, “What is 3 + 8?” or “What is 3874?” Both of these are simple arithmetic exercises, although the second one is rather dif(cid:191) cult, and the chance of getting the correct answer is nil. Nevertheless, there is no question about how to proceed. In contrast, a problem is a question that one does not know, at the outset, how to approach. This is what makes mathematical problem solving so important, and not just for mathematicians. Arguably, all pure mathematical research is just problem solving, at a rather high level. But the problem-solving mind-set is important for all who take learning seriously, especially lifelong learners. Much of the current craze in brain strengthening focuses merely on exercises. These are not without merit—indeed, mental exercise is essential for everyone—but they miss out on a crucial dimension of intellectual life. Our brains are not just for doing crosswords or sudoku—they also can and should help us with intensive contemplation, open-ended experimentation, long wild goose chases, and moments of hard-earned triumph. That is what problem solving is all about. An analogy that I frequently use compares an exerciser to a gym rat and a problem solver to a mountaineer. The latter’s experience is riskier, messier, dirtier, less constrained, less certain, but much more fun. For those of you who prefer more civilized pursuits, consider 2 ways to learn Italian. One involves toiling over grammar exercises and translations of texts. The other method is to spend a few months, perhaps after a short bit of preparation, in a small town in Italy where no one else speaks English. Again, the latter approach is messier but fundamentally richer. 1 Becoming a good problem solver requires new skills (mathematical as well as psychological) and patient effort. My pedagogical philosophy is both experiential and analytic. In other words, you cannot learn problem solving without working hard at lots of problems. But I also want you to understand what you are doing at as high a level as possible. We will break down the process of solving a problem into investigation, strategy, tactics, and (cid:191) ner- grained tools, and we will often step back to discuss not just how we solved a problem but why our methods worked. Problems, by de(cid:191) nition, are hard to solve. Solving problems requires investigation, and successful investigations need strategies and tactics. Strategies are broad ideas, often not just mathematical, that facilitate investigation. Some strategies are psychological, others organizational, and others simply commonsense ideas that apply to problems in any (cid:191) eld. Tactics are more narrowly focused, mostly mathematical ideas that help solve many problems that have been softened by good strategy. Additionally, there are very specialized techniques, called tricks by some, that I call tools. This course is devoted to the systematic development of investigation methods, strategies, and tactics. Besides this “problemsolvingology,” I will introduce you to mathematical folklore: classic problems as well as mathematical disciplines that play an important role in the problem-solving world. For example, no course on problem solving is complete without some discussion of graph theory, which is an important branch of math on its own but is also a very accessible laboratory for exploring problem-solving themes. Many of the lectures will include small amounts of new mathematics that we will build up and stitch together as the course progresses. The topics are largely drawn from discrete mathematics (graph theory, integer sequences, number theory, and combinatorics), because this branch of math does not require advanced skills such as calculus. That does not mean it is easy, but we will move slowly and develop new ideas carefully. A small but important part of the course explores the culture of problem solving. I will draw on my experience as a competitor, coach, and problem writer for various regional, national, and international math contests, to make e p the little-known world of math Olympiads come to life. And I will discuss o c S 2 the recent educational reform movement (in which I am a key player) to bring Eastern European–inspired mathematical circles to the United States. Problem solving is not a vertically organized discipline; it is not something that one learns in a linear fashion. Thus the overall organization of this course has a recursive, spiral nature. The (cid:191) rst few lectures introduce the main ideas of strategy and tactics, which then are revisited and illuminated by different examples. We will often return to and re(cid:191) ne previously introduced ideas. Overall, the topics get more complex toward the end of the course, but the underlying concepts do not really change. An analogy is a theme and variations musical piece, where the main theme is introduced with a slow, stately rhythm and later ends in complex avant-garde interpretations. By the end of the course, you should understand the main theme (the basic and powerful strategies and tactics of problem solving) quite well because you had to struggle with the complex interpretations (the advanced folklore problems that used the basic strategies in novel ways). Problem solving is not just solving math problems. It is a mental discipline; successful investigations demand concentration and patient contemplation that few of us can do, at least at (cid:191) rst. Also, problem solving is an aesthetic discipline—in other words, an art—where we create and contemplate objects of elegance and beauty. I hope that you enjoy learning about this wonderful subject as much as I have! (cid:374) 3 Problems versus Exercises Lecture 1 There is always a porous boundary between problem and exercise, but a problem by its very nature requires investigation, sometimes very intense and sustained investigation. The investigation of a problem employs strategies and tactics, and that’s what this course is about. I n this introductory lecture, we de(cid:191) ne the main entity that we will study in this course: problems. Problems, by de(cid:191) nition, are dif(cid:191) cult, and our investigation of them cannot proceed without organized strategies and tactics. Indeed, our course focuses on 3 things: investigation, strategies, and tactics. Problem solving is at the heart of mathematics. It is not just a way of thinking about math but is an intellectual lifestyle with its own mathematical folklore and culture. Most of our learning will be by example. Almost every lecture will revolve around one or more problems. Much of the current You, the viewer, will need to use the Pause craze in brain button and pencil and paper. This lecture strengthening focuses will include several fun problems not on exercises. This requiring any special mathematical skills, is not without merit, but in later lectures, the problems will be s more complex. but our brains should e s also work on intensive erci Who am I, and what do I do? I have contemplation x been a professor at the University of San E s Francisco since 1992. I received my Ph.D. and open-ended u s in Mathematics from the University of experimentation. r e v California, Berkeley, specializing in Ergodic s m Theory, a sort of abstract probability theory. e bl I (cid:191) rst learned about problem-solving mathematics as a mathlete at Stuyvesant o r High School in New York City. I won national awards and participated in P 1: international competitions, some of the most formative experiences of my e life. I currently teach problem-solving mathematics to high school and middle r u ct school teachers, run math clubs, write problems for math competitions, and Le train mathletes. 4